Pandas Profiling Report

Dataset statistics

Number of variables	42
Number of observations	204
Missing cells	285
Missing cells (%)	3.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	67.1 KiB
Average record size in memory	336.6 B

Variable types

Numeric	30
Categorical	12

Alerts

`COST_DEVIATION` is highly correlated with `ADDITIONAL_COST`	High correlation
`TIME_DEVIATION` is highly correlated with `ADDITIONAL_TIME`	High correlation
`ADVANCED_PAYMENT` is highly correlated with `K_CONTRACTING_B_VALUE`	High correlation
`ESTIMATED_COST` is highly correlated with `PROJECT_INTENSITY` and 3 other fields	High correlation
`ORIGINAL_DEADLINE` is highly correlated with `FINAL_DEADLINE`	High correlation
`LIQUIDITY_INDEX_B` is highly correlated with `DEBT_INDEX_B` and 2 other fields	High correlation
`DEBT_INDEX_B` is highly correlated with `LIQUIDITY_INDEX_B` and 2 other fields	High correlation
`INTEREST_COVERAGE_RATIO_B` is highly correlated with `LIQUIDITY_INDEX_B` and 3 other fields	High correlation
`ROE_B` is highly correlated with `INTEREST_COVERAGE_RATIO_B` and 2 other fields	High correlation
`ROA_B` is highly correlated with `LIQUIDITY_INDEX_B` and 3 other fields	High correlation
`WORKING_CAPITAL` is highly correlated with `NET_EQUITY`	High correlation
`NET_EQUITY` is highly correlated with `ROE_B` and 1 other fields	High correlation
`K_CONTRACTING_B_VALUE` is highly correlated with `ADVANCED_PAYMENT`	High correlation
`PROJECT_INTENSITY` is highly correlated with `ESTIMATED_COST` and 2 other fields	High correlation
`PRICE_SCORE` is highly correlated with `TECHNICAL_SCORE`	High correlation
`TECHNICAL_SCORE` is highly correlated with `PRICE_SCORE`	High correlation
`CONTRACT_VALUE` is highly correlated with `ESTIMATED_COST` and 3 other fields	High correlation
`ADDITIONAL_COST` is highly correlated with `COST_DEVIATION`	High correlation
`FINAL_COST` is highly correlated with `ESTIMATED_COST` and 3 other fields	High correlation
`ADDITIONAL_TIME` is highly correlated with `TIME_DEVIATION` and 1 other fields	High correlation
`FINAL_DEADLINE` is highly correlated with `ESTIMATED_COST` and 4 other fields	High correlation
`COST_DEVIATION` is highly correlated with `ADDITIONAL_COST`	High correlation
`TIME_DEVIATION` is highly correlated with `PROJECT_INTENSITY` and 1 other fields	High correlation
`ESTIMATED_COST` is highly correlated with `PROJECT_INTENSITY` and 2 other fields	High correlation
`ORIGINAL_DEADLINE` is highly correlated with `FINAL_DEADLINE`	High correlation
`ROE_B` is highly correlated with `ROA_B`	High correlation
`ROA_B` is highly correlated with `ROE_B`	High correlation
`WORKING_CAPITAL` is highly correlated with `NET_EQUITY`	High correlation
`NET_EQUITY` is highly correlated with `WORKING_CAPITAL`	High correlation
`PROJECT_INTENSITY` is highly correlated with `TIME_DEVIATION` and 4 other fields	High correlation
`PRICE_SCORE` is highly correlated with `TECHNICAL_SCORE`	High correlation
`TECHNICAL_SCORE` is highly correlated with `PRICE_SCORE`	High correlation
`NUMBER_BIDDERS` is highly correlated with `PROJECT_INTENSITY`	High correlation
`CONTRACT_VALUE` is highly correlated with `ESTIMATED_COST` and 2 other fields	High correlation
`ADDITIONAL_COST` is highly correlated with `COST_DEVIATION`	High correlation
`FINAL_COST` is highly correlated with `ESTIMATED_COST` and 2 other fields	High correlation
`ADDITIONAL_TIME` is highly correlated with `TIME_DEVIATION` and 1 other fields	High correlation
`FINAL_DEADLINE` is highly correlated with `ORIGINAL_DEADLINE` and 1 other fields	High correlation
`COST_DEVIATION` is highly correlated with `ADDITIONAL_COST`	High correlation
`TIME_DEVIATION` is highly correlated with `ADDITIONAL_TIME`	High correlation
`ADVANCED_PAYMENT` is highly correlated with `K_CONTRACTING_B_VALUE`	High correlation
`ESTIMATED_COST` is highly correlated with `PROJECT_INTENSITY` and 2 other fields	High correlation
`ORIGINAL_DEADLINE` is highly correlated with `FINAL_DEADLINE`	High correlation
`LIQUIDITY_INDEX_B` is highly correlated with `DEBT_INDEX_B`	High correlation
`DEBT_INDEX_B` is highly correlated with `LIQUIDITY_INDEX_B`	High correlation
`ROE_B` is highly correlated with `ROA_B`	High correlation
`ROA_B` is highly correlated with `ROE_B`	High correlation
`WORKING_CAPITAL` is highly correlated with `NET_EQUITY`	High correlation
`NET_EQUITY` is highly correlated with `WORKING_CAPITAL`	High correlation
`K_CONTRACTING_B_VALUE` is highly correlated with `ADVANCED_PAYMENT`	High correlation
`PROJECT_INTENSITY` is highly correlated with `ESTIMATED_COST` and 2 other fields	High correlation
`PRICE_SCORE` is highly correlated with `TECHNICAL_SCORE`	High correlation
`TECHNICAL_SCORE` is highly correlated with `PRICE_SCORE`	High correlation
`CONTRACT_VALUE` is highly correlated with `ESTIMATED_COST` and 2 other fields	High correlation
`ADDITIONAL_COST` is highly correlated with `COST_DEVIATION`	High correlation
`FINAL_COST` is highly correlated with `ESTIMATED_COST` and 2 other fields	High correlation
`ADDITIONAL_TIME` is highly correlated with `TIME_DEVIATION`	High correlation
`FINAL_DEADLINE` is highly correlated with `ORIGINAL_DEADLINE`	High correlation
`DEPARTMENT` is highly correlated with `REGION` and 1 other fields	High correlation
`REGION` is highly correlated with `DEPARTMENT` and 1 other fields	High correlation
`REGION_2` is highly correlated with `DEPARTMENT` and 1 other fields	High correlation
`NUMBER_OF_CONTRACTS` is highly correlated with `YEAR`	High correlation
`COST_DEVIATION` is highly correlated with `LIQUIDITY_INDEX_B` and 3 other fields	High correlation
`TIME_DEVIATION` is highly correlated with `ADVANCED_PAYMENT` and 10 other fields	High correlation
`ADVANCED_PAYMENT` is highly correlated with `TIME_DEVIATION` and 7 other fields	High correlation
`ESTIMATED_COST` is highly correlated with `TIME_DEVIATION` and 11 other fields	High correlation
`ORIGINAL_DEADLINE` is highly correlated with `ESTIMATED_COST` and 5 other fields	High correlation
`LIQUIDITY_INDEX_B` is highly correlated with `COST_DEVIATION` and 2 other fields	High correlation
`INTEREST_COVERAGE_RATIO_B` is highly correlated with `COST_DEVIATION` and 3 other fields	High correlation
`ROE_B` is highly correlated with `INTEREST_COVERAGE_RATIO_B` and 2 other fields	High correlation
`ROA_B` is highly correlated with `INTEREST_COVERAGE_RATIO_B` and 1 other fields	High correlation
`WORKING_CAPITAL` is highly correlated with `ORIGINAL_DEADLINE` and 3 other fields	High correlation
`NET_EQUITY` is highly correlated with `ORIGINAL_DEADLINE` and 4 other fields	High correlation
`EXPERIENCE_B_VALUE` is highly correlated with `TIME_DEVIATION` and 8 other fields	High correlation
`K_CONTRACTING_B_VALUE` is highly correlated with `NET_EQUITY` and 1 other fields	High correlation
`PROJECT_INTENSITY` is highly correlated with `TIME_DEVIATION` and 12 other fields	High correlation
`PRICE_SCORE` is highly correlated with `TECHNICAL_SCORE` and 3 other fields	High correlation
`TECHNICAL_SCORE` is highly correlated with `EXPERIENCE_B_VALUE` and 3 other fields	High correlation
`NATIONAL_INDUSTRY_SCORE` is highly correlated with `TIME_DEVIATION` and 4 other fields	High correlation
`OTHER_SCORE` is highly correlated with `HIGHEST SCORE` and 2 other fields	High correlation
`NUMBER_BIDDERS` is highly correlated with `TIME_DEVIATION` and 6 other fields	High correlation
`CONTRACT_VALUE` is highly correlated with `TIME_DEVIATION` and 11 other fields	High correlation
`AWARD_GROWTH` is highly correlated with `NUMBER_BIDDERS`	High correlation
`ADDITIONAL_COST` is highly correlated with `COST_DEVIATION` and 6 other fields	High correlation
`FINAL_COST` is highly correlated with `TIME_DEVIATION` and 10 other fields	High correlation
`ADDITIONAL_TIME` is highly correlated with `TIME_DEVIATION` and 11 other fields	High correlation
`FINAL_DEADLINE` is highly correlated with `ESTIMATED_COST` and 5 other fields	High correlation
`TIME_SUSPENDED_P` is highly correlated with `TIME_DEVIATION` and 1 other fields	High correlation
`IDI` is highly correlated with `YEAR` and 3 other fields	High correlation
`HIGHEST SCORE` is highly correlated with `PRICE_SCORE` and 2 other fields	High correlation
`LOWEST_SCORE` is highly correlated with `NATIONAL_INDUSTRY_SCORE` and 1 other fields	High correlation
`YEAR` is highly correlated with `NUMBER_OF_CONTRACTS` and 3 other fields	High correlation
`IDI_CAT` is highly correlated with `IDI` and 1 other fields	High correlation
`MUNICIPALITY_TYPE` is highly correlated with `DEPARTMENT` and 2 other fields	High correlation
`DEPARTMENT` is highly correlated with `TIME_DEVIATION` and 18 other fields	High correlation
`REGION` is highly correlated with `DEPARTMENT` and 1 other fields	High correlation
`REGION_2` is highly correlated with `MUNICIPALITY_TYPE` and 3 other fields	High correlation
`OWNER` is highly correlated with `ADVANCED_PAYMENT` and 11 other fields	High correlation
`PERFORMANCE` is highly correlated with `COST_DEVIATION` and 1 other fields	High correlation
`INTEREST_COVERAGE_RATIO_B` has 6 (2.9%) missing values	Missing
`ROE_B` has 3 (1.5%) missing values	Missing
`ROA_B` has 3 (1.5%) missing values	Missing
`WORKING_CAPITAL` has 109 (53.4%) missing values	Missing
`NET_EQUITY` has 147 (72.1%) missing values	Missing
`EXPERIENCE_B_VALUE` has 7 (3.4%) missing values	Missing
`K_CONTRACTING_B_VALUE` has 9 (4.4%) missing values	Missing
`NUMBER_OF_CONTRACTS` is uniformly distributed	Uniform
`NUMBER_OF_CONTRACTS` has unique values	Unique
`COST_DEVIATION` has 134 (65.7%) zeros	Zeros
`TIME_DEVIATION` has 119 (58.3%) zeros	Zeros
`ADVANCED_PAYMENT` has 144 (70.6%) zeros	Zeros
`INTEREST_COVERAGE_RATIO_B` has 3 (1.5%) zeros	Zeros
`ROE_B` has 10 (4.9%) zeros	Zeros
`ROA_B` has 11 (5.4%) zeros	Zeros
`TECHNICAL_SCORE` has 9 (4.4%) zeros	Zeros
`NATIONAL_INDUSTRY_SCORE` has 22 (10.8%) zeros	Zeros
`OTHER_SCORE` has 143 (70.1%) zeros	Zeros
`AWARD_GROWTH` has 49 (24.0%) zeros	Zeros
`ADDITIONAL_COST` has 134 (65.7%) zeros	Zeros
`ADDITIONAL_TIME` has 119 (58.3%) zeros	Zeros
`TIME_SUSPENDED_P` has 129 (63.2%) zeros	Zeros

Reproduction

Analysis started	2022-06-15 03:42:43.859877
Analysis finished	2022-06-15 03:46:13.658454
Duration	3 minutes and 29.8 seconds
Software version	pandas-profiling v3.1.1
Download configuration	config.json

NUMBER_OF_CONTRACTS
Real number (ℝ_≥0)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	204
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	102.5

Minimum	1
Maximum	204
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	1
5-th percentile	11.15
Q1	51.75
median	102.5
Q3	153.25
95-th percentile	193.85
Maximum	204
Range	203
Interquartile range (IQR)	101.5

Descriptive statistics

Standard deviation	59.03388857
Coefficient of variation (CV)	0.5759403763
Kurtosis	-1.2
Mean	102.5
Median Absolute Deviation (MAD)	51
Skewness	0
Sum	20910
Variance	3485
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	0.5%
141	1	0.5%
131	1	0.5%
132	1	0.5%
133	1	0.5%
134	1	0.5%
135	1	0.5%
136	1	0.5%
137	1	0.5%
138	1	0.5%
Other values (194)	194	95.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.5%
2	1	0.5%
3	1	0.5%
4	1	0.5%
5	1	0.5%
6	1	0.5%
7	1	0.5%
8	1	0.5%
9	1	0.5%
10	1	0.5%

Value	Count	Frequency (%)
204	1	0.5%
203	1	0.5%
202	1	0.5%
201	1	0.5%
200	1	0.5%
199	1	0.5%
198	1	0.5%
197	1	0.5%
196	1	0.5%
195	1	0.5%

COST_DEVIATION
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	40
Distinct (%)	19.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.08037522859

Minimum	0
Maximum	0.5
Zeros	134
Zeros (%)	65.7%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0.07
95-th percentile	0.4885
Maximum	0.5
Range	0.5
Interquartile range (IQR)	0.07

Descriptive statistics

Standard deviation	0.1523831655
Coefficient of variation (CV)	1.895897134
Kurtosis	2.071146024
Mean	0.08037522859
Median Absolute Deviation (MAD)	0
Skewness	1.86670482
Sum	16.39654663
Variance	0.02322062914
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
0	134	65.7%
0.5	10	4.9%
0.02	5	2.5%
0.06	4	2.0%
0.04	4	2.0%
0.11	3	1.5%
0.07	3	1.5%
0.18	2	1.0%
0.09	2	1.0%
0.29	2	1.0%
Other values (30)	35	17.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	134	65.7%
0.01	1	0.5%
0.02	5	2.5%
0.03	1	0.5%
0.04	4	2.0%
0.05	2	1.0%
0.06	4	2.0%
0.06432845842	1	0.5%
0.07	3	1.5%
0.08	1	0.5%

Value	Count	Frequency (%)
0.5	10	4.9%
0.49	1	0.5%
0.48	2	1.0%
0.4737688601	1	0.5%
0.47	1	0.5%
0.44	1	0.5%
0.43	1	0.5%
0.4284493143	1	0.5%
0.41	1	0.5%
0.4	1	0.5%

TIME_DEVIATION
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	49
Distinct (%)	24.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4522303922

Minimum	0
Maximum	21.11
Zeros	119
Zeros (%)	58.3%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0.38
95-th percentile	1.5
Maximum	21.11
Range	21.11
Interquartile range (IQR)	0.38

Descriptive statistics

Standard deviation	1.785710337
Coefficient of variation (CV)	3.948673879
Kurtosis	99.90740031
Mean	0.4522303922
Median Absolute Deviation (MAD)	0
Skewness	9.449312573
Sum	92.255
Variance	3.188761408
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
0	119	58.3%
0.33	10	4.9%
0.5	7	3.4%
0.67	6	2.9%
0.25	5	2.5%
0.17	3	1.5%
1.5	3	1.5%
1	3	1.5%
0.38	3	1.5%
0.77	2	1.0%
Other values (39)	43	21.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	119	58.3%
0.07	1	0.5%
0.1	1	0.5%
0.12	1	0.5%
0.125	1	0.5%
0.14	1	0.5%
0.16	1	0.5%
0.17	3	1.5%
0.2	1	0.5%
0.22	1	0.5%

Value	Count	Frequency (%)
21.11	1	0.5%
12.9	1	0.5%
3.28	1	0.5%
3.11	1	0.5%
3	1	0.5%
2.5	1	0.5%
2.2	1	0.5%
2	1	0.5%
1.62	1	0.5%
1.5	3	1.5%

TIME_STUDIES_CONTRACT
Real number (ℝ_≥0)

Distinct	65
Distinct (%)	32.0%
Missing	1
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	57.64039409

Minimum	16
Maximum	779
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	16
5-th percentile	33
Q1	40.5
median	49
Q3	60.5
95-th percentile	88
Maximum	779
Range	763
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	59.49252174
Coefficient of variation (CV)	1.03213246
Kurtosis	113.7174187
Mean	57.64039409
Median Absolute Deviation (MAD)	10
Skewness	9.990979502
Sum	11701
Variance	3539.360142
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
42	13	6.4%
39	9	4.4%
49	8	3.9%
35	8	3.9%
50	8	3.9%
43	7	3.4%
60	7	3.4%
51	7	3.4%
47	7	3.4%
38	7	3.4%
Other values (55)	122	59.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
16	1	0.5%
20	2	1.0%
26	1	0.5%
28	1	0.5%
29	2	1.0%
30	1	0.5%
32	2	1.0%
33	3	1.5%
34	1	0.5%
35	8	3.9%

Value	Count	Frequency (%)
779	1	0.5%
413	1	0.5%
131	1	0.5%
118	1	0.5%
112	1	0.5%
111	1	0.5%
106	1	0.5%
97	1	0.5%
91	1	0.5%
89	1	0.5%

ADVANCED_PAYMENT
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	8
Distinct (%)	3.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1185294118

Minimum	0
Maximum	0.5
Zeros	144
Zeros (%)	70.6%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0.3
95-th percentile	0.5
Maximum	0.5
Range	0.5
Interquartile range (IQR)	0.3

Descriptive statistics

Standard deviation	0.1939650929
Coefficient of variation (CV)	1.636430064
Kurtosis	-0.4589315836
Mean	0.1185294118
Median Absolute Deviation (MAD)	0
Skewness	1.159101468
Sum	24.18
Variance	0.03762245726
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	144	70.6%
0.5	28	13.7%
0.4	13	6.4%
0.3	11	5.4%
0.1	3	1.5%
0.2	2	1.0%
0.35	2	1.0%
0.28	1	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	144	70.6%
0.1	3	1.5%
0.2	2	1.0%
0.28	1	0.5%
0.3	11	5.4%
0.35	2	1.0%
0.4	13	6.4%
0.5	28	13.7%

Value	Count	Frequency (%)
0.5	28	13.7%
0.4	13	6.4%
0.35	2	1.0%
0.3	11	5.4%
0.28	1	0.5%
0.2	2	1.0%
0.1	3	1.5%
0	144	70.6%

ESTIMATED_COST
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	194
Distinct (%)	95.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1207.407527

Minimum	237.45
Maximum	13812.73
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	237.45
5-th percentile	309.3785
Q1	425.5825
median	649.195
Q3	1207.499221
95-th percentile	4317.3125
Maximum	13812.73
Range	13575.28
Interquartile range (IQR)	781.9167214

Descriptive statistics

Standard deviation	1611.64858
Coefficient of variation (CV)	1.334800838
Kurtosis	24.31872886
Mean	1207.407527
Median Absolute Deviation (MAD)	269.725
Skewness	4.255771888
Sum	246311.1356
Variance	2597411.145
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2095.13	5	2.5%
677.77	2	1.0%
310.39	2	1.0%
542.21	2	1.0%
482.63	2	1.0%
406.66	2	1.0%
519.9	2	1.0%
861.08	1	0.5%
1404.68	1	0.5%
830.56	1	0.5%
Other values (184)	184	90.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
237.45	1	0.5%
277.64	1	0.5%
280	1	0.5%
281.68	1	0.5%
287.4	1	0.5%
288.66	1	0.5%
291.71	1	0.5%
298.75	1	0.5%
306.13	1	0.5%
308.17	1	0.5%

Value	Count	Frequency (%)
13812.73	1	0.5%
10302.16	1	0.5%
8133.2	1	0.5%
5819.82	1	0.5%
5378.164047	1	0.5%
5150.28	1	0.5%
5144.72	1	0.5%
4704.56	1	0.5%
4574.53	1	0.5%
4389.13	1	0.5%

ORIGINAL_DEADLINE
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	23
Distinct (%)	11.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	105.8578431

Minimum	9
Maximum	900
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	9
5-th percentile	36.5
Q1	75
median	90
Q3	120
95-th percentile	180
Maximum	900
Range	891
Interquartile range (IQR)	45

Descriptive statistics

Standard deviation	74.54878647
Coefficient of variation (CV)	0.7042348895
Kurtosis	63.75866233
Mean	105.8578431
Median Absolute Deviation (MAD)	30
Skewness	6.425120388
Sum	21595
Variance	5557.521564
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
90	78	38.2%
120	36	17.6%
60	28	13.7%
180	12	5.9%
150	12	5.9%
75	7	3.4%
30	6	2.9%
45	5	2.5%
240	4	2.0%
50	2	1.0%
Other values (13)	14	6.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
9	1	0.5%
10	2	1.0%
20	1	0.5%
30	6	2.9%
35	1	0.5%
45	5	2.5%
50	2	1.0%
60	28	13.7%
75	7	3.4%
90	78	38.2%

Value	Count	Frequency (%)
900	1	0.5%
360	1	0.5%
300	1	0.5%
270	1	0.5%
240	4	2.0%
211	1	0.5%
180	12	5.9%
165	1	0.5%
150	12	5.9%
130	1	0.5%

LIQUIDITY_INDEX_B
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	73
Distinct (%)	35.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	33.5075

Minimum	0.62
Maximum	1500
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	0.62
5-th percentile	1
Q1	2
median	5.5
Q3	15
95-th percentile	90
Maximum	1500
Range	1499.38
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	135.6202159
Coefficient of variation (CV)	4.047458505
Kurtosis	78.79735243
Mean	33.5075
Median Absolute Deviation (MAD)	4.325
Skewness	8.330667105
Sum	6835.53
Variance	18392.84295
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	23	11.3%
5	16	7.8%
2	11	5.4%
1	10	4.9%
20	9	4.4%
1.2	9	4.4%
4	9	4.4%
3	8	3.9%
1.5	7	3.4%
12	5	2.5%
Other values (63)	97	47.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.62	1	0.5%
0.79	1	0.5%
0.8	1	0.5%
1	10	4.9%
1.15	2	1.0%
1.2	9	4.4%
1.38	1	0.5%
1.42	1	0.5%
1.5	7	3.4%
1.6	4	2.0%

Value	Count	Frequency (%)
1500	1	0.5%
950	1	0.5%
600	1	0.5%
400	1	0.5%
250	2	1.0%
150	3	1.5%
100	1	0.5%
90	2	1.0%
85	1	0.5%
80	1	0.5%

DEBT_INDEX_B
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	47
Distinct (%)	23.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.475745098

Minimum	0.01
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	0.01
5-th percentile	0.05
Q1	0.2
median	0.4
Q3	0.5
95-th percentile	0.7
Maximum	20
Range	19.99
Interquartile range (IQR)	0.3

Descriptive statistics

Standard deviation	1.388234465
Coefficient of variation (CV)	2.918021585
Kurtosis	195.4689696
Mean	0.475745098
Median Absolute Deviation (MAD)	0.135
Skewness	13.83484204
Sum	97.052
Variance	1.92719493
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
0.5	30	14.7%
0.3	26	12.7%
0.4	21	10.3%
0.7	20	9.8%
0.6	14	6.9%
0.2	13	6.4%
0.1	8	3.9%
0.15	6	2.9%
0.05	5	2.5%
0.35	5	2.5%
Other values (37)	56	27.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.01	3	1.5%
0.02	2	1.0%
0.03	2	1.0%
0.04	2	1.0%
0.05	5	2.5%
0.06	1	0.5%
0.072	1	0.5%
0.08	1	0.5%
0.1	8	3.9%
0.12	2	1.0%

Value	Count	Frequency (%)
20	1	0.5%
1	1	0.5%
0.7	20	9.8%
0.66	1	0.5%
0.65	1	0.5%
0.64	1	0.5%
0.63	1	0.5%
0.6	14	6.9%
0.56	1	0.5%
0.55	1	0.5%

INTEREST_COVERAGE_RATIO_B
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	59
Distinct (%)	29.8%
Missing	6
Missing (%)	2.9%
Infinite	0
Infinite (%)	0.0%
Mean	29.30494949

Minimum	0
Maximum	1000
Zeros	3
Zeros (%)	1.5%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	9.82
Q3	20
95-th percentile	100
Maximum	1000
Range	1000
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	103.0212026
Coefficient of variation (CV)	3.515488148
Kurtosis	72.49242272
Mean	29.30494949
Median Absolute Deviation (MAD)	7.59
Skewness	8.210809942
Sum	5802.38
Variance	10613.36819
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	27	13.2%
1	24	11.8%
5	14	6.9%
20	10	4.9%
2	10	4.9%
15	9	4.4%
4	7	3.4%
3	7	3.4%
6	6	2.9%
30	6	2.9%
Other values (49)	78	38.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3	1.5%
0.08	1	0.5%
0.5	1	0.5%
0.58	1	0.5%
1	24	11.8%
1.5	2	1.0%
1.66	1	0.5%
1.8	1	0.5%
2	10	4.9%
2.23	3	1.5%

Value	Count	Frequency (%)
1000	1	0.5%
950	1	0.5%
400	1	0.5%
154	1	0.5%
150	1	0.5%
100	6	2.9%
85	2	1.0%
80	2	1.0%
75	1	0.5%
70	2	1.0%

ROE_B
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	37
Distinct (%)	18.4%
Missing	3
Missing (%)	1.5%
Infinite	0
Infinite (%)	0.0%
Mean	0.1497164179

Minimum	0
Maximum	1
Zeros	10
Zeros (%)	4.9%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0.01
Q1	0.07
median	0.1
Q3	0.2
95-th percentile	0.43
Maximum	1
Range	1
Interquartile range (IQR)	0.13

Descriptive statistics

Standard deviation	0.1318926237
Coefficient of variation (CV)	0.8809496347
Kurtosis	9.585708594
Mean	0.1497164179
Median Absolute Deviation (MAD)	0.05
Skewness	2.41988232
Sum	30.093
Variance	0.01739566418
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
0.1	32	15.7%
0.2	19	9.3%
0.15	16	7.8%
0.05	13	6.4%
0	10	4.9%
0.03	10	4.9%
0.3	9	4.4%
0.07	8	3.9%
0.09	8	3.9%
0.25	7	3.4%
Other values (27)	69	33.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	10	4.9%
0.01	1	0.5%
0.02	3	1.5%
0.03	10	4.9%
0.04	6	2.9%
0.05	13	6.4%
0.06	5	2.5%
0.07	8	3.9%
0.08	6	2.9%
0.09	8	3.9%

Value	Count	Frequency (%)
1	1	0.5%
0.65	1	0.5%
0.55	1	0.5%
0.5	6	2.9%
0.45	1	0.5%
0.43	1	0.5%
0.4	1	0.5%
0.37	1	0.5%
0.35	1	0.5%
0.32	1	0.5%

ROA_B
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	34
Distinct (%)	16.9%
Missing	3
Missing (%)	1.5%
Infinite	0
Infinite (%)	0.0%
Mean	0.1226517413

Minimum	0
Maximum	1
Zeros	11
Zeros (%)	5.4%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.05
median	0.1
Q3	0.15
95-th percentile	0.32
Maximum	1
Range	1
Interquartile range (IQR)	0.1

Descriptive statistics

Standard deviation	0.1193452056
Coefficient of variation (CV)	0.9730412661
Kurtosis	15.62019351
Mean	0.1226517413
Median Absolute Deviation (MAD)	0.05
Skewness	3.055628095
Sum	24.653
Variance	0.01424327811
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
0.1	30	14.7%
0.05	17	8.3%
0.15	17	8.3%
0.2	14	6.9%
0	11	5.4%
0.07	11	5.4%
0.01	10	4.9%
0.06	9	4.4%
0.04	8	3.9%
0.13	8	3.9%
Other values (24)	66	32.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	11	5.4%
0.01	10	4.9%
0.02	6	2.9%
0.03	5	2.5%
0.04	8	3.9%
0.05	17	8.3%
0.06	9	4.4%
0.07	11	5.4%
0.08	7	3.4%
0.09	5	2.5%

Value	Count	Frequency (%)
1	1	0.5%
0.5	5	2.5%
0.45	1	0.5%
0.41	1	0.5%
0.4	1	0.5%
0.33	1	0.5%
0.32	1	0.5%
0.3	5	2.5%
0.29	1	0.5%
0.25	2	1.0%

WORKING_CAPITAL
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	28
Distinct (%)	29.5%
Missing	109
Missing (%)	53.4%
Infinite	0
Infinite (%)	0.0%
Mean	1.028513958

Minimum	0.1
Maximum	3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	0.1
5-th percentile	0.3
Q1	0.7
median	1
Q3	1
95-th percentile	2
Maximum	3
Range	2.9
Interquartile range (IQR)	0.3

Descriptive statistics

Standard deviation	0.5931191688
Coefficient of variation (CV)	0.5766758576
Kurtosis	2.546493483
Mean	1.028513958
Median Absolute Deviation (MAD)	0.19
Skewness	1.464046257
Sum	97.70882601
Variance	0.3517903484
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
1	42	20.6%
2	10	4.9%
0.5	8	3.9%
0.8	3	1.5%
0.7	3	1.5%
3	3	1.5%
0.3	3	1.5%
0.4	2	1.0%
0.9	2	1.0%
0.6102545823	1	0.5%
Other values (18)	18	8.8%
(Missing)	109	53.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.1	1	0.5%
0.15	1	0.5%
0.21	1	0.5%
0.25	1	0.5%
0.3	3	1.5%
0.33	1	0.5%
0.4	2	1.0%
0.4285714286	1	0.5%
0.5	8	3.9%
0.54	1	0.5%

Value	Count	Frequency (%)
3	3	1.5%
2.32	1	0.5%
2	10	4.9%
1.5	1	0.5%
1.49	1	0.5%
1.17	1	0.5%
1.03	1	0.5%
1	42	20.6%
0.99	1	0.5%
0.9	2	1.0%

NET_EQUITY
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	16
Distinct (%)	28.1%
Missing	147
Missing (%)	72.1%
Infinite	0
Infinite (%)	0.0%
Mean	1.084057644

Minimum	0.001285714286
Maximum	3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	0.001285714286
5-th percentile	0.28
Q1	0.5
median	1
Q3	1.49
95-th percentile	2.2
Maximum	3
Range	2.998714286
Interquartile range (IQR)	0.99

Descriptive statistics

Standard deviation	0.6996247213
Coefficient of variation (CV)	0.6453759402
Kurtosis	1.08632067
Mean	1.084057644
Median Absolute Deviation (MAD)	0.5
Skewness	1.141515524
Sum	61.79128571
Variance	0.4894747506
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
1	19	9.3%
0.5	8	3.9%
2	8	3.9%
0.8	3	1.5%
3	3	1.5%
1.5	2	1.0%
0.9	2	1.0%
0.4	2	1.0%
0.3	2	1.0%
0.2	2	1.0%
Other values (6)	6	2.9%
(Missing)	147	72.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.001285714286	1	0.5%
0.2	2	1.0%
0.3	2	1.0%
0.37	1	0.5%
0.4	2	1.0%
0.5	8	3.9%
0.6	1	0.5%
0.75	1	0.5%
0.8	3	1.5%
0.9	2	1.0%

Value	Count	Frequency (%)
3	3	1.5%
2	8	3.9%
1.58	1	0.5%
1.5	2	1.0%
1.49	1	0.5%
1	19	9.3%
0.9	2	1.0%
0.8	3	1.5%
0.75	1	0.5%
0.6	1	0.5%

EXPERIENCE_B_VALUE
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	53
Distinct (%)	26.9%
Missing	7
Missing (%)	3.4%
Infinite	0
Infinite (%)	0.0%
Mean	2.42485777

Minimum	0.3
Maximum	29.16
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	0.3
5-th percentile	0.7
Q1	1
median	1.48
Q3	2.14
95-th percentile	6.048
Maximum	29.16
Range	28.86
Interquartile range (IQR)	1.14

Descriptive statistics

Standard deviation	3.485919749
Coefficient of variation (CV)	1.437576996
Kurtosis	33.97656944
Mean	2.42485777
Median Absolute Deviation (MAD)	0.52
Skewness	5.356279342
Sum	477.6969807
Variance	12.1516365
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	70	34.3%
2	40	19.6%
3	12	5.9%
5	9	4.4%
0.5	5	2.5%
4	5	2.5%
0.75	3	1.5%
1.5	3	1.5%
0.9	2	1.0%
10	2	1.0%
Other values (43)	46	22.5%
(Missing)	7	3.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.3	1	0.5%
0.34	1	0.5%
0.5	5	2.5%
0.6	2	1.0%
0.7	2	1.0%
0.75	3	1.5%
0.78	1	0.5%
0.79	1	0.5%
0.8	1	0.5%
0.87	1	0.5%

Value	Count	Frequency (%)
29.16	1	0.5%
25.77	1	0.5%
23.86	1	0.5%
11.17	1	0.5%
11.07	1	0.5%
10	2	1.0%
6.88	1	0.5%
6.45	1	0.5%
6.24	1	0.5%
6	1	0.5%

K_CONTRACTING_B_VALUE
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	21
Distinct (%)	10.8%
Missing	9
Missing (%)	4.4%
Infinite	0
Infinite (%)	0.0%
Mean	0.9246153846

Minimum	0.25
Maximum	5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	0.25
5-th percentile	0.5
Q1	0.7
median	1
Q3	1
95-th percentile	1
Maximum	5
Range	4.75
Interquartile range (IQR)	0.3

Descriptive statistics

Standard deviation	0.4696063616
Coefficient of variation (CV)	0.5078937355
Kurtosis	57.5684813
Mean	0.9246153846
Median Absolute Deviation (MAD)	0
Skewness	6.715069921
Sum	180.3
Variance	0.2205301348
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
1	130	63.7%
0.5	22	10.8%
0.6	10	4.9%
0.7	9	4.4%
0.9	3	1.5%
0.54	2	1.0%
0.25	2	1.0%
0.8	2	1.0%
5	2	1.0%
0.65	2	1.0%
Other values (11)	11	5.4%
(Missing)	9	4.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.25	2	1.0%
0.44	1	0.5%
0.5	22	10.8%
0.51	1	0.5%
0.54	2	1.0%
0.56	1	0.5%
0.6	10	4.9%
0.64	1	0.5%
0.65	2	1.0%
0.69	1	0.5%

Value	Count	Frequency (%)
5	2	1.0%
2	1	0.5%
1.23	1	0.5%
1.03	1	0.5%
1	130	63.7%
0.99	1	0.5%
0.95	1	0.5%
0.9	3	1.5%
0.8	2	1.0%
0.78	1	0.5%

PROJECT_INTENSITY
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	186
Distinct (%)	91.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.36163652

Minimum	2.41
Maximum	178.05
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	2.41
5-th percentile	3.403
Q1	5.138155138
median	7.27
Q3	12.095
95-th percentile	44.626
Maximum	178.05
Range	175.64
Interquartile range (IQR)	6.956844862

Descriptive statistics

Standard deviation	20.26916926
Coefficient of variation (CV)	1.516967568
Kurtosis	30.51497284
Mean	13.36163652
Median Absolute Deviation (MAD)	2.838161342
Skewness	4.969870579
Sum	2725.773851
Variance	410.8392227
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.45	3	1.5%
4.52	3	1.5%
5.51	2	1.0%
4.27	2	1.0%
3.7	2	1.0%
5.35	2	1.0%
5.78	2	1.0%
11.64	2	1.0%
7.53	2	1.0%
4.69	2	1.0%
Other values (176)	182	89.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.41	1	0.5%
2.49	1	0.5%
3.09	1	0.5%
3.11	1	0.5%
3.130711872	1	0.5%
3.17	1	0.5%
3.19	1	0.5%
3.280472402	1	0.5%
3.29	1	0.5%
3.354334149	1	0.5%

Value	Count	Frequency (%)
178.05	1	0.5%
132.43	1	0.5%
114.47	1	0.5%
97	1	0.5%
69.84	1	0.5%
57.55	1	0.5%
57.16	1	0.5%
52.27	1	0.5%
48.52	1	0.5%
45.18	1	0.5%

PRICE_SCORE
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	27
Distinct (%)	13.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4657843137

Minimum	0
Maximum	1
Zeros	2
Zeros (%)	1.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0.2
Q1	0.3
median	0.5
Q3	0.6
95-th percentile	0.8
Maximum	1
Range	1
Interquartile range (IQR)	0.3

Descriptive statistics

Standard deviation	0.1831386794
Coefficient of variation (CV)	0.3931834415
Kurtosis	-0.2139442444
Mean	0.4657843137
Median Absolute Deviation (MAD)	0.1
Skewness	-0.01455611741
Sum	95.02
Variance	0.03353977591
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
0.5	40	19.6%
0.6	40	19.6%
0.4	26	12.7%
0.3	17	8.3%
0.2	15	7.4%
0.8	13	6.4%
0.7	9	4.4%
0.27	7	3.4%
0.25	6	2.9%
0.55	4	2.0%
Other values (17)	27	13.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	1.0%
0.1	4	2.0%
0.12	1	0.5%
0.15	1	0.5%
0.2	15	7.4%
0.24	1	0.5%
0.25	6	2.9%
0.27	7	3.4%
0.29	1	0.5%
0.3	17	8.3%

Value	Count	Frequency (%)
1	1	0.5%
0.9	1	0.5%
0.8	13	6.4%
0.7	9	4.4%
0.65	2	1.0%
0.6	40	19.6%
0.59	2	1.0%
0.55	4	2.0%
0.5	40	19.6%
0.48	1	0.5%

TECHNICAL_SCORE
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	29
Distinct (%)	14.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3944705882

Minimum	0
Maximum	0.9
Zeros	9
Zeros (%)	4.4%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0.1
Q1	0.3
median	0.4
Q3	0.5
95-th percentile	0.7
Maximum	0.9
Range	0.9
Interquartile range (IQR)	0.2

Descriptive statistics

Standard deviation	0.1904651659
Coefficient of variation (CV)	0.4828374322
Kurtosis	-0.2681770377
Mean	0.3944705882
Median Absolute Deviation (MAD)	0.1
Skewness	0.03332266944
Sum	80.472
Variance	0.03627697943
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
0.3	41	20.1%
0.4	35	17.2%
0.5	28	13.7%
0.6	16	7.8%
0.1	14	6.9%
0.2	11	5.4%
0.7	10	4.9%
0	9	4.4%
0.45	5	2.5%
0.8	4	2.0%
Other values (19)	31	15.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	9	4.4%
0.1	14	6.9%
0.19	2	1.0%
0.192	1	0.5%
0.2	11	5.4%
0.25	3	1.5%
0.29	1	0.5%
0.3	41	20.1%
0.3	1	0.5%
0.33	3	1.5%

Value	Count	Frequency (%)
0.9	1	0.5%
0.8	4	2.0%
0.76	2	1.0%
0.75	1	0.5%
0.7	10	4.9%
0.69	1	0.5%
0.65	2	1.0%
0.64	1	0.5%
0.61	1	0.5%
0.6	16	7.8%

NATIONAL_INDUSTRY_SCORE
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	13
Distinct (%)	6.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.09196078431

Minimum	0
Maximum	0.3
Zeros	22
Zeros (%)	10.8%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.1
median	0.1
Q3	0.1
95-th percentile	0.15
Maximum	0.3
Range	0.3
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.04239247112
Coefficient of variation (CV)	0.4609842275
Kurtosis	3.884897213
Mean	0.09196078431
Median Absolute Deviation (MAD)	0
Skewness	0.03359629553
Sum	18.76
Variance	0.001797121607
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
0.1	145	71.1%
0	22	10.8%
0.15	9	4.4%
0.05	9	4.4%
0.2	6	2.9%
0.07	4	2.0%
0.06	2	1.0%
0.09	2	1.0%
0.04	1	0.5%
0.08	1	0.5%
Other values (3)	3	1.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	22	10.8%
0.04	1	0.5%
0.05	9	4.4%
0.06	2	1.0%
0.07	4	2.0%
0.08	1	0.5%
0.09	2	1.0%
0.1	145	71.1%
0.12	1	0.5%
0.14	1	0.5%

Value	Count	Frequency (%)
0.3	1	0.5%
0.2	6	2.9%
0.15	9	4.4%
0.14	1	0.5%
0.12	1	0.5%
0.1	145	71.1%
0.09	2	1.0%
0.08	1	0.5%
0.07	4	2.0%
0.06	2	1.0%

OTHER_SCORE
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	18
Distinct (%)	8.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.04783333333

Minimum	0
Maximum	0.5
Zeros	143
Zeros (%)	70.1%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0.05
95-th percentile	0.3
Maximum	0.5
Range	0.5
Interquartile range (IQR)	0.05

Descriptive statistics

Standard deviation	0.09815555999
Coefficient of variation (CV)	2.052032613
Kurtosis	5.061809207
Mean	0.04783333333
Median Absolute Deviation (MAD)	0
Skewness	2.32363616
Sum	9.758
Variance	0.009634513957
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
0	143	70.1%
0.1	16	7.8%
0.2	13	6.4%
0.01	8	3.9%
0.4	4	2.0%
0.3	4	2.0%
0.05	3	1.5%
0.06	2	1.0%
0.15	2	1.0%
0.16	1	0.5%
Other values (8)	8	3.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	143	70.1%
0.008	1	0.5%
0.01	8	3.9%
0.05	3	1.5%
0.06	2	1.0%
0.08	1	0.5%
0.1	16	7.8%
0.14	1	0.5%
0.15	2	1.0%
0.16	1	0.5%

Value	Count	Frequency (%)
0.5	1	0.5%
0.4	4	2.0%
0.35	1	0.5%
0.33	1	0.5%
0.31	1	0.5%
0.3	4	2.0%
0.23	1	0.5%
0.2	13	6.4%
0.16	1	0.5%
0.15	2	1.0%

NUMBER_BIDDERS
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	4.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.024509804

Minimum	1
Maximum	65
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	5
Maximum	65
Range	64
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	5.175195411
Coefficient of variation (CV)	2.556270857
Kurtosis	112.9577565
Mean	2.024509804
Median Absolute Deviation (MAD)	0
Skewness	9.92938939
Sum	413
Variance	26.78264754
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	158	77.5%
2	27	13.2%
5	4	2.0%
4	4	2.0%
11	3	1.5%
3	3	1.5%
6	2	1.0%
65	1	0.5%
30	1	0.5%
16	1	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	158	77.5%
2	27	13.2%
3	3	1.5%
4	4	2.0%
5	4	2.0%
6	2	1.0%
11	3	1.5%
16	1	0.5%
30	1	0.5%
65	1	0.5%

Value	Count	Frequency (%)
65	1	0.5%
30	1	0.5%
16	1	0.5%
11	3	1.5%
6	2	1.0%
5	4	2.0%
4	4	2.0%
3	3	1.5%
2	27	13.2%
1	158	77.5%

CONTRACT_VALUE
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	203
Distinct (%)	99.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1203.388787

Minimum	237.45
Maximum	13430.77
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	237.45
5-th percentile	309.353
Q1	423.1725
median	649.195
Q3	1203.943178
95-th percentile	4294.475
Maximum	13430.77
Range	13193.32
Interquartile range (IQR)	780.7706784

Descriptive statistics

Standard deviation	1596.026669
Coefficient of variation (CV)	1.326276833
Kurtosis	23.15160307
Mean	1203.388787
Median Absolute Deviation (MAD)	269.835
Skewness	4.169360078
Sum	245491.3125
Variance	2547301.127
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
519.9	2	1.0%
861.07	1	0.5%
393.27	1	0.5%
1392.44	1	0.5%
830.47	1	0.5%
376.01	1	0.5%
310.33	1	0.5%
423.59	1	0.5%
698.27	1	0.5%
482.61	1	0.5%
Other values (193)	193	94.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
237.45	1	0.5%
277.64	1	0.5%
280	1	0.5%
281.65	1	0.5%
287.4	1	0.5%
288	1	0.5%
288.66	1	0.5%
291.46	1	0.5%
295.81	1	0.5%
305.72	1	0.5%

Value	Count	Frequency (%)
13430.77	1	0.5%
10302.16	1	0.5%
8131.17	1	0.5%
5819.03	1	0.5%
5377.178864	1	0.5%
5144.46	1	0.5%
5136.19	1	0.5%
4704.56	1	0.5%
4573.02	1	0.5%
4379.25	1	0.5%

AWARD_GROWTH
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	134
Distinct (%)	65.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-0.2162089003

Minimum	-6.5456
Maximum	0.0001
Zeros	49
Zeros (%)	24.0%
Negative	154
Negative (%)	75.5%
Memory size	1.7 KiB

Quantile statistics

Minimum	-6.5456
5-th percentile	-1.13973
Q1	-0.07002140153
median	-0.0096
Q3	-0.0001
95-th percentile	0
Maximum	0.0001
Range	6.5457
Interquartile range (IQR)	0.06992140153

Descriptive statistics

Standard deviation	0.7230896794
Coefficient of variation (CV)	-3.344402928
Kurtosis	40.16723524
Mean	-0.2162089003
Median Absolute Deviation (MAD)	0.0096
Skewness	-5.7696287
Sum	-44.10661567
Variance	0.5228586844
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	49	24.0%
-0.0003	4	2.0%
-0.0001	4	2.0%
-0.0002	4	2.0%
-0.0051	3	1.5%
-0.026	2	1.0%
-0.0096	2	1.0%
-0.0106	2	1.0%
-0.0274	2	1.0%
-0.0257	2	1.0%
Other values (124)	130	63.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-6.5456	1	0.5%
-5.1131	1	0.5%
-2.842003104	1	0.5%
-2.7653	1	0.5%
-2.221371647	1	0.5%
-2.1281	1	0.5%
-2.0177	1	0.5%
-1.9007	1	0.5%
-1.7903	1	0.5%
-1.3289	1	0.5%

Value	Count	Frequency (%)
0.0001	1	0.5%
0	49	24.0%
-0.0001	4	2.0%
-0.0002	4	2.0%
-0.0003	4	2.0%
-0.0004	2	1.0%
-0.0005	2	1.0%
-0.0006285394736	1	0.5%
-0.0007	2	1.0%
-0.0008	1	0.5%

ADDITIONAL_COST
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	70
Distinct (%)	34.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	84.62905632

Minimum	0
Maximum	2249.93
Zeros	134
Zeros (%)	65.7%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	47.2825
95-th percentile	361.9736359
Maximum	2249.93
Range	2249.93
Interquartile range (IQR)	47.2825

Descriptive statistics

Standard deviation	236.9827735
Coefficient of variation (CV)	2.800253055
Kurtosis	38.32319388
Mean	84.62905632
Median Absolute Deviation (MAD)	0
Skewness	5.374351597
Sum	17264.32749
Variance	56160.83493
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	134	65.7%
124.16	2	1.0%
153.74	1	0.5%
57.98	1	0.5%
550.16	1	0.5%
461.85	1	0.5%
279.5	1	0.5%
28.18	1	0.5%
201.98	1	0.5%
41.13	1	0.5%
Other values (60)	60	29.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	134	65.7%
10.28	1	0.5%
12.16	1	0.5%
13.21	1	0.5%
15.68	1	0.5%
20.33	1	0.5%
24.35	1	0.5%
25.20609794	1	0.5%
25.25	1	0.5%
25.72	1	0.5%

Value	Count	Frequency (%)
2249.93	1	0.5%
1174.569751	1	0.5%
1025.27	1	0.5%
931.17	1	0.5%
840.65	1	0.5%
828.98	1	0.5%
800.3	1	0.5%
550.16	1	0.5%
461.85	1	0.5%
443.92	1	0.5%

FINAL_COST
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	203
Distinct (%)	99.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1288.017892

Minimum	277.64
Maximum	13430.77
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	277.64
5-th percentile	317.1625
Q1	463.9
median	685.865
Q3	1279.8825
95-th percentile	4373.5155
Maximum	13430.77
Range	13153.13
Interquartile range (IQR)	815.9825

Descriptive statistics

Standard deviation	1669.854833
Coefficient of variation (CV)	1.296453134
Kurtosis	19.30650787
Mean	1288.017892
Median Absolute Deviation (MAD)	302.02
Skewness	3.846118352
Sum	262755.65
Variance	2788415.164
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
519.9	2	1.0%
1014.81	1	0.5%
393.27	1	0.5%
1450.42	1	0.5%
830.47	1	0.5%
376.01	1	0.5%
351.46	1	0.5%
625.57	1	0.5%
698.27	1	0.5%
482.61	1	0.5%
Other values (193)	193	94.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
277.64	1	0.5%
280	1	0.5%
281.65	1	0.5%
287.4	1	0.5%
288	1	0.5%
288.66	1	0.5%
295.81	1	0.5%
305.72	1	0.5%
309.2	1	0.5%
316.15	1	0.5%

Value	Count	Frequency (%)
13430.77	1	0.5%
10302.16	1	0.5%
8131.17	1	0.5%
7386.12	1	0.5%
6369.19	1	0.5%
6075.63	1	0.5%
5377.178864	1	0.5%
4871.37	1	0.5%
4704.56	1	0.5%
4573.02	1	0.5%

ADDITIONAL_TIME
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	40
Distinct (%)	19.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.40686275

Minimum	0
Maximum	295
Zeros	119
Zeros (%)	58.3%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	39.25
95-th percentile	120
Maximum	295
Range	295
Interquartile range (IQR)	39.25

Descriptive statistics

Standard deviation	46.77328352
Coefficient of variation (CV)	1.771254843
Kurtosis	10.33251921
Mean	26.40686275
Median Absolute Deviation (MAD)	0
Skewness	2.821199179
Sum	5387
Variance	2187.740051
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
0	119	58.3%
30	18	8.8%
45	8	3.9%
60	8	3.9%
75	5	2.5%
90	4	2.0%
15	3	1.5%
40	3	1.5%
120	3	1.5%
20	2	1.0%
Other values (30)	31	15.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	119	58.3%
6	1	0.5%
7	1	0.5%
10	1	0.5%
11	1	0.5%
14	1	0.5%
15	3	1.5%
20	2	1.0%
22	1	0.5%
23	1	0.5%

Value	Count	Frequency (%)
295	1	0.5%
280	1	0.5%
211	1	0.5%
190	1	0.5%
150	2	1.0%
135	1	0.5%
132	1	0.5%
129	1	0.5%
121	1	0.5%
120	3	1.5%

FINAL_DEADLINE
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	56
Distinct (%)	27.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	132.2647059

Minimum	10
Maximum	900
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	10
5-th percentile	57.45
Q1	90
median	120
Q3	150
95-th percentile	267.75
Maximum	900
Range	890
Interquartile range (IQR)	60

Descriptive statistics

Standard deviation	86.04918132
Coefficient of variation (CV)	0.650583092
Kurtosis	31.26267603
Mean	132.2647059
Median Absolute Deviation (MAD)	30
Skewness	4.18698421
Sum	26982
Variance	7404.461605
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
90	48	23.5%
120	31	15.2%
150	18	8.8%
60	16	7.8%
180	11	5.4%
135	7	3.4%
165	5	2.5%
75	5	2.5%
240	4	2.0%
30	4	2.0%
Other values (46)	55	27.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	1	0.5%
30	4	2.0%
35	2	1.0%
45	2	1.0%
53	1	0.5%
57	1	0.5%
60	16	7.8%
69	1	0.5%
70	1	0.5%
75	5	2.5%

Value	Count	Frequency (%)
900	1	0.5%
390	1	0.5%
385	1	0.5%
370	1	0.5%
360	1	0.5%
341	1	0.5%
330	1	0.5%
300	1	0.5%
286	2	1.0%
270	1	0.5%

TIME_SUSPENDED_P
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	63
Distinct (%)	30.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3502941176

Minimum	0
Maximum	5.39
Zeros	129
Zeros (%)	63.2%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0.3475
95-th percentile	1.534
Maximum	5.39
Range	5.39
Interquartile range (IQR)	0.3475

Descriptive statistics

Standard deviation	0.8221457205
Coefficient of variation (CV)	2.347015491
Kurtosis	17.84707064
Mean	0.3502941176
Median Absolute Deviation (MAD)	0
Skewness	3.968403383
Sum	71.46
Variance	0.6759235858
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	129	63.2%
0.25	3	1.5%
0.69	2	1.0%
0.29	2	1.0%
0.77	2	1.0%
0.45	2	1.0%
0.1	2	1.0%
0.27	2	1.0%
0.63	2	1.0%
0.23	2	1.0%
Other values (53)	56	27.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	129	63.2%
0.1	2	1.0%
0.14	1	0.5%
0.15	1	0.5%
0.16	1	0.5%
0.18	1	0.5%
0.21	1	0.5%
0.23	2	1.0%
0.25	3	1.5%
0.27	2	1.0%

Value	Count	Frequency (%)
5.39	1	0.5%
5.1	1	0.5%
4.29	1	0.5%
4.17	1	0.5%
3.97	1	0.5%
2.88	1	0.5%
2.78	1	0.5%
1.93	1	0.5%
1.89	1	0.5%
1.87	1	0.5%

IDI
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	158
Distinct (%)	77.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	70.50764706

Minimum	34.9
Maximum	94.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 KiB

Quantile statistics

Minimum	34.9
5-th percentile	45.845
Q1	59.03
median	74.51
Q3	81.795
95-th percentile	88.19
Maximum	94.5
Range	59.6
Interquartile range (IQR)	22.765

Descriptive statistics

Standard deviation	13.95389115
Coefficient of variation (CV)	0.1979060674
Kurtosis	-0.7509737908
Mean	70.50764706
Median Absolute Deviation (MAD)	8.73
Skewness	-0.5727021834
Sum	14383.56
Variance	194.7110782
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
88.19	4	2.0%
82.77	4	2.0%
50.1	3	1.5%
76.89	3	1.5%
62.92	3	1.5%
86.59	3	1.5%
84.87	3	1.5%
82.89	3	1.5%
51.1	3	1.5%
77.39	2	1.0%
Other values (148)	173	84.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
34.9	1	0.5%
39.1	1	0.5%
39.4	1	0.5%
40.18	1	0.5%
40.7	1	0.5%
41.3	1	0.5%
44	1	0.5%
44.9	2	1.0%
45.5	1	0.5%
45.8	1	0.5%

Value	Count	Frequency (%)
94.5	2	1.0%
90.62	1	0.5%
90.4	1	0.5%
89.77	2	1.0%
89.58	1	0.5%
88.34	1	0.5%
88.21	2	1.0%
88.19	4	2.0%
87.27	1	0.5%
86.82	1	0.5%

CONTRACTOR
Categorical

Distinct	3
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

CONSORTIUM	83
COMPANY	66
INDIVIDUAL	55

Length

Max length	10
Median length	10
Mean length	9.029411765
Min length	7

Characters and Unicode

Total characters	1842
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	INDIVIDUAL
2nd row	INDIVIDUAL
3rd row	COMPANY
4th row	CONSORTIUM
5th row	CONSORTIUM

Common Values

Value	Count	Frequency (%)
CONSORTIUM	83	40.7%
COMPANY	66	32.4%
INDIVIDUAL	55	27.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
consortium	83	40.7%
company	66	32.4%
individual	55	27.0%

Most occurring characters

Value	Count	Frequency (%)
I	248	13.5%
O	232	12.6%
N	204	11.1%
C	149	8.1%
M	149	8.1%
U	138	7.5%
A	121	6.6%
D	110	6.0%
S	83	4.5%
R	83	4.5%
Other values (5)	325	17.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1842	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	248	13.5%
O	232	12.6%
N	204	11.1%
C	149	8.1%
M	149	8.1%
U	138	7.5%
A	121	6.6%
D	110	6.0%
S	83	4.5%
R	83	4.5%
Other values (5)	325	17.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1842	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	248	13.5%
O	232	12.6%
N	204	11.1%
C	149	8.1%
M	149	8.1%
U	138	7.5%
A	121	6.6%
D	110	6.0%
S	83	4.5%
R	83	4.5%
Other values (5)	325	17.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1842	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
I	248	13.5%
O	232	12.6%
N	204	11.1%
C	149	8.1%
M	149	8.1%
U	138	7.5%
A	121	6.6%
D	110	6.0%
S	83	4.5%
R	83	4.5%
Other values (5)	325	17.6%

HIGHEST SCORE
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

PRICE	113
TECHNICAL	75
OTHER	16

Length

Max length	9
Median length	5
Mean length	6.470588235
Min length	5

Characters and Unicode

Total characters	1320
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PRICE
2nd row	TECHNICAL
3rd row	PRICE
4th row	PRICE
5th row	TECHNICAL

Common Values

Value	Count	Frequency (%)
PRICE	113	55.4%
TECHNICAL	75	36.8%
OTHER	16	7.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
price	113	55.4%
technical	75	36.8%
other	16	7.8%

Most occurring characters

Value	Count	Frequency (%)
C	263	19.9%
E	204	15.5%
I	188	14.2%
R	129	9.8%
P	113	8.6%
T	91	6.9%
H	91	6.9%
N	75	5.7%
A	75	5.7%
L	75	5.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1320	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	263	19.9%
E	204	15.5%
I	188	14.2%
R	129	9.8%
P	113	8.6%
T	91	6.9%
H	91	6.9%
N	75	5.7%
A	75	5.7%
L	75	5.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1320	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
C	263	19.9%
E	204	15.5%
I	188	14.2%
R	129	9.8%
P	113	8.6%
T	91	6.9%
H	91	6.9%
N	75	5.7%
A	75	5.7%
L	75	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1320	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	263	19.9%
E	204	15.5%
I	188	14.2%
R	129	9.8%
P	113	8.6%
T	91	6.9%
H	91	6.9%
N	75	5.7%
A	75	5.7%
L	75	5.7%

LOWEST_SCORE
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

OTHER	169
NATIONAL_INDUSTRY	35

Length

Max length	17
Median length	5
Mean length	7.058823529
Min length	5

Characters and Unicode

Total characters	1440
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NATIONAL_INDUSTRY
2nd row	OTHER
3rd row	OTHER
4th row	OTHER
5th row	NATIONAL_INDUSTRY

Common Values

Value	Count	Frequency (%)
OTHER	169	82.8%
NATIONAL_INDUSTRY	35	17.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
other	169	82.8%
national_industry	35	17.2%

Most occurring characters

Value	Count	Frequency (%)
T	239	16.6%
O	204	14.2%
R	204	14.2%
H	169	11.7%
E	169	11.7%
N	105	7.3%
A	70	4.9%
I	70	4.9%
L	35	2.4%
_	35	2.4%
Other values (4)	140	9.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1405	97.6%
Connector Punctuation	35	2.4%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
T	239	17.0%
O	204	14.5%
R	204	14.5%
H	169	12.0%
E	169	12.0%
N	105	7.5%
A	70	5.0%
I	70	5.0%
L	35	2.5%
D	35	2.5%
Other values (3)	105	7.5%

Connector Punctuation

Value	Count	Frequency (%)
_	35	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1405	97.6%
Common	35	2.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
T	239	17.0%
O	204	14.5%
R	204	14.5%
H	169	12.0%
E	169	12.0%
N	105	7.5%
A	70	5.0%
I	70	5.0%
L	35	2.5%
D	35	2.5%
Other values (3)	105	7.5%

Common

Value	Count	Frequency (%)
_	35	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1440	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
T	239	16.6%
O	204	14.2%
R	204	14.2%
H	169	11.7%
E	169	11.7%
N	105	7.3%
A	70	4.9%
I	70	4.9%
L	35	2.4%
_	35	2.4%
Other values (4)	140	9.7%

YEAR
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Y_2015	70
Y_2017	50
Y_2018	38
Y_2016	30
Y_2019	16

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	1224
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Y_2016
2nd row	Y_2017
3rd row	Y_2017
4th row	Y_2018
5th row	Y_2015

Common Values

Value	Count	Frequency (%)
Y_2015	70	34.3%
Y_2017	50	24.5%
Y_2018	38	18.6%
Y_2016	30	14.7%
Y_2019	16	7.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
y_2015	70	34.3%
y_2017	50	24.5%
y_2018	38	18.6%
y_2016	30	14.7%
y_2019	16	7.8%

Most occurring characters

Value	Count	Frequency (%)
Y	204	16.7%
_	204	16.7%
2	204	16.7%
0	204	16.7%
1	204	16.7%
5	70	5.7%
7	50	4.1%
8	38	3.1%
6	30	2.5%
9	16	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	816	66.7%
Uppercase Letter	204	16.7%
Connector Punctuation	204	16.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	204	25.0%
0	204	25.0%
1	204	25.0%
5	70	8.6%
7	50	6.1%
8	38	4.7%
6	30	3.7%
9	16	2.0%

Uppercase Letter

Value	Count	Frequency (%)
Y	204	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	204	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1020	83.3%
Latin	204	16.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
_	204	20.0%
2	204	20.0%
0	204	20.0%
1	204	20.0%
5	70	6.9%
7	50	4.9%
8	38	3.7%
6	30	2.9%
9	16	1.6%

Latin

Value	Count	Frequency (%)
Y	204	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1224	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
Y	204	16.7%
_	204	16.7%
2	204	16.7%
0	204	16.7%
1	204	16.7%
5	70	5.7%
7	50	4.1%
8	38	3.1%
6	30	2.5%
9	16	1.3%

IDI_CAT
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

OUTSTANDING	65
SATISFACTORY	59
LOW	51
MEDIUM	29

Length

Max length	12
Median length	11
Mean length	8.578431373
Min length	3

Characters and Unicode

Total characters	1750
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	SATISFACTORY
2nd row	SATISFACTORY
3rd row	OUTSTANDING
4th row	LOW
5th row	SATISFACTORY

Common Values

Value	Count	Frequency (%)
OUTSTANDING	65	31.9%
SATISFACTORY	59	28.9%
LOW	51	25.0%
MEDIUM	29	14.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
outstanding	65	31.9%
satisfactory	59	28.9%
low	51	25.0%
medium	29	14.2%

Most occurring characters

Value	Count	Frequency (%)
T	248	14.2%
S	183	10.5%
A	183	10.5%
O	175	10.0%
I	153	8.7%
N	130	7.4%
U	94	5.4%
D	94	5.4%
G	65	3.7%
F	59	3.4%
Other values (7)	366	20.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1750	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
T	248	14.2%
S	183	10.5%
A	183	10.5%
O	175	10.0%
I	153	8.7%
N	130	7.4%
U	94	5.4%
D	94	5.4%
G	65	3.7%
F	59	3.4%
Other values (7)	366	20.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1750	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
T	248	14.2%
S	183	10.5%
A	183	10.5%
O	175	10.0%
I	153	8.7%
N	130	7.4%
U	94	5.4%
D	94	5.4%
G	65	3.7%
F	59	3.4%
Other values (7)	366	20.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1750	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
T	248	14.2%
S	183	10.5%
A	183	10.5%
O	175	10.0%
I	153	8.7%
N	130	7.4%
U	94	5.4%
D	94	5.4%
G	65	3.7%
F	59	3.4%
Other values (7)	366	20.9%

CONTRACT_TYPE
Categorical

Distinct	2
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

MAINTEINANCE	130
CONSTRUCTION	74

Length

Max length	12
Median length	12
Mean length	12
Min length	12

Characters and Unicode

Total characters	2448
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CONSTRUCTION
2nd row	MAINTEINANCE
3rd row	MAINTEINANCE
4th row	MAINTEINANCE
5th row	MAINTEINANCE

Common Values

Value	Count	Frequency (%)
MAINTEINANCE	130	63.7%
CONSTRUCTION	74	36.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
mainteinance	130	63.7%
construction	74	36.3%

Most occurring characters

Value	Count	Frequency (%)
N	538	22.0%
I	334	13.6%
T	278	11.4%
C	278	11.4%
A	260	10.6%
E	260	10.6%
O	148	6.0%
M	130	5.3%
S	74	3.0%
R	74	3.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2448	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	538	22.0%
I	334	13.6%
T	278	11.4%
C	278	11.4%
A	260	10.6%
E	260	10.6%
O	148	6.0%
M	130	5.3%
S	74	3.0%
R	74	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2448	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	538	22.0%
I	334	13.6%
T	278	11.4%
C	278	11.4%
A	260	10.6%
E	260	10.6%
O	148	6.0%
M	130	5.3%
S	74	3.0%
R	74	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2448	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	538	22.0%
I	334	13.6%
T	278	11.4%
C	278	11.4%
A	260	10.6%
E	260	10.6%
O	148	6.0%
M	130	5.3%
S	74	3.0%
R	74	3.0%

MUNICIPALITY_TYPE
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

TYPE_6	156
OTHER	29
TYPE_5	19

Length

Max length	6
Median length	6
Mean length	5.857843137
Min length	5

Characters and Unicode

Total characters	1195
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	TYPE_6
2nd row	TYPE_6
3rd row	TYPE_6
4th row	TYPE_6
5th row	TYPE_6

Common Values

Value	Count	Frequency (%)
TYPE_6	156	76.5%
OTHER	29	14.2%
TYPE_5	19	9.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
type_6	156	76.5%
other	29	14.2%
type_5	19	9.3%

Most occurring characters

Value	Count	Frequency (%)
T	204	17.1%
E	204	17.1%
Y	175	14.6%
P	175	14.6%
_	175	14.6%
6	156	13.1%
O	29	2.4%
H	29	2.4%
R	29	2.4%
5	19	1.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	845	70.7%
Connector Punctuation	175	14.6%
Decimal Number	175	14.6%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
T	204	24.1%
E	204	24.1%
Y	175	20.7%
P	175	20.7%
O	29	3.4%
H	29	3.4%
R	29	3.4%

Decimal Number

Value	Count	Frequency (%)
6	156	89.1%
5	19	10.9%

Connector Punctuation

Value	Count	Frequency (%)
_	175	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	845	70.7%
Common	350	29.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
T	204	24.1%
E	204	24.1%
Y	175	20.7%
P	175	20.7%
O	29	3.4%
H	29	3.4%
R	29	3.4%

Common

Value	Count	Frequency (%)
_	175	50.0%
6	156	44.6%
5	19	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1195	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
T	204	17.1%
E	204	17.1%
Y	175	14.6%
P	175	14.6%
_	175	14.6%
6	156	13.1%
O	29	2.4%
H	29	2.4%
R	29	2.4%
5	19	1.6%

DEPARTMENT
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	25
Distinct (%)	12.3%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

CUNDINAMARCA	39
BOYACA	39
ANTIOQUIA	31
SANTANDER	25
CORDOBA	13
Other values (20)	57

Length

Max length	15
Median length	9
Mean length	8.509803922
Min length	4

Characters and Unicode

Total characters	1736
Distinct characters	22
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	2.5%

Sample

1st row	MAGDALENA
2nd row	BOYACA
3rd row	ANTIOQUIA
4th row	TOLIMA
5th row	BOYACA

Common Values

Value	Count	Frequency (%)
CUNDINAMARCA	39	19.1%
BOYACA	39	19.1%
ANTIOQUIA	31	15.2%
SANTANDER	25	12.3%
CORDOBA	13	6.4%
NORTE_SANTANDER	7	3.4%
TOLIMA	7	3.4%
CASANARE	7	3.4%
CAUCA	4	2.0%
ARAUCA	4	2.0%
Other values (15)	28	13.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
cundinamarca	39	19.1%
boyaca	39	19.1%
antioquia	31	15.2%
santander	25	12.3%
cordoba	13	6.4%
norte_santander	7	3.4%
tolima	7	3.4%
casanare	7	3.4%
cauca	4	2.0%
arauca	4	2.0%
Other values (15)	28	13.7%

Most occurring characters

Value	Count	Frequency (%)
A	425	24.5%
N	194	11.2%
C	165	9.5%
I	119	6.9%
O	117	6.7%
R	114	6.6%
U	96	5.5%
D	87	5.0%
T	83	4.8%
E	63	3.6%
Other values (12)	273	15.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1726	99.4%
Connector Punctuation	10	0.6%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	425	24.6%
N	194	11.2%
C	165	9.6%
I	119	6.9%
O	117	6.8%
R	114	6.6%
U	96	5.6%
D	87	5.0%
T	83	4.8%
E	63	3.7%
Other values (11)	263	15.2%

Connector Punctuation

Value	Count	Frequency (%)
_	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1726	99.4%
Common	10	0.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	425	24.6%
N	194	11.2%
C	165	9.6%
I	119	6.9%
O	117	6.8%
R	114	6.6%
U	96	5.6%
D	87	5.0%
T	83	4.8%
E	63	3.7%
Other values (11)	263	15.2%

Common

Value	Count	Frequency (%)
_	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1736	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	425	24.5%
N	194	11.2%
C	165	9.5%
I	119	6.9%
O	117	6.7%
R	114	6.6%
U	96	5.5%
D	87	5.0%
T	83	4.8%
E	63	3.6%
Other values (12)	273	15.7%

REGION
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

ANDINA	151
CARIBE	22
ORINOQUIA	13
PACIFICA	10
AMAZONIA	8

Length

Max length	9
Median length	6
Mean length	6.367647059
Min length	6

Characters and Unicode

Total characters	1299
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CARIBE
2nd row	ANDINA
3rd row	ANDINA
4th row	ANDINA
5th row	ANDINA

Common Values

Value	Count	Frequency (%)
ANDINA	151	74.0%
CARIBE	22	10.8%
ORINOQUIA	13	6.4%
PACIFICA	10	4.9%
AMAZONIA	8	3.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
andina	151	74.0%
caribe	22	10.8%
orinoquia	13	6.4%
pacifica	10	4.9%
amazonia	8	3.9%

Most occurring characters

Value	Count	Frequency (%)
A	381	29.3%
N	323	24.9%
I	227	17.5%
D	151	11.6%
C	42	3.2%
R	35	2.7%
O	34	2.6%
B	22	1.7%
E	22	1.7%
Q	13	1.0%
Other values (5)	49	3.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1299	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	381	29.3%
N	323	24.9%
I	227	17.5%
D	151	11.6%
C	42	3.2%
R	35	2.7%
O	34	2.6%
B	22	1.7%
E	22	1.7%
Q	13	1.0%
Other values (5)	49	3.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1299	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	381	29.3%
N	323	24.9%
I	227	17.5%
D	151	11.6%
C	42	3.2%
R	35	2.7%
O	34	2.6%
B	22	1.7%
E	22	1.7%
Q	13	1.0%
Other values (5)	49	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1299	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	381	29.3%
N	323	24.9%
I	227	17.5%
D	151	11.6%
C	42	3.2%
R	35	2.7%
O	34	2.6%
B	22	1.7%
E	22	1.7%
Q	13	1.0%
Other values (5)	49	3.8%

REGION_2
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

CENTRO_ORIENTE	110
EJE_CAFETERO	32
CARIBE	22
LLANO	17
CENTRO_SUR	13

Length

Max length	14
Median length	14
Mean length	11.5245098
Min length	5

Characters and Unicode

Total characters	2351
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CARIBE
2nd row	CENTRO_ORIENTE
3rd row	EJE_CAFETERO
4th row	CENTRO_SUR
5th row	CENTRO_ORIENTE

Common Values

Value	Count	Frequency (%)
CENTRO_ORIENTE	110	53.9%
EJE_CAFETERO	32	15.7%
CARIBE	22	10.8%
LLANO	17	8.3%
CENTRO_SUR	13	6.4%
PACIFICO	10	4.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
centro_oriente	110	53.9%
eje_cafetero	32	15.7%
caribe	22	10.8%
llano	17	8.3%
centro_sur	13	6.4%
pacifico	10	4.9%

Most occurring characters

Value	Count	Frequency (%)
E	493	21.0%
R	300	12.8%
O	292	12.4%
T	265	11.3%
N	250	10.6%
C	197	8.4%
_	155	6.6%
I	152	6.5%
A	81	3.4%
F	42	1.8%
Other values (6)	124	5.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2196	93.4%
Connector Punctuation	155	6.6%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	493	22.4%
R	300	13.7%
O	292	13.3%
T	265	12.1%
N	250	11.4%
C	197	9.0%
I	152	6.9%
A	81	3.7%
F	42	1.9%
L	34	1.5%
Other values (5)	90	4.1%

Connector Punctuation

Value	Count	Frequency (%)
_	155	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2196	93.4%
Common	155	6.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	493	22.4%
R	300	13.7%
O	292	13.3%
T	265	12.1%
N	250	11.4%
C	197	9.0%
I	152	6.9%
A	81	3.7%
F	42	1.9%
L	34	1.5%
Other values (5)	90	4.1%

Common

Value	Count	Frequency (%)
_	155	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2351	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	493	21.0%
R	300	12.8%
O	292	12.4%
T	265	11.3%
N	250	10.6%
C	197	8.4%
_	155	6.6%
I	152	6.5%
A	81	3.4%
F	42	1.8%
Other values (6)	124	5.3%

OWNER
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

MUNICIPALITY	195
DEPARTMENT_GOVERNMENT	7
OTHER	2

Length

Max length	21
Median length	12
Mean length	12.24019608
Min length	5

Characters and Unicode

Total characters	2497
Distinct characters	18
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	MUNICIPALITY
2nd row	MUNICIPALITY
3rd row	MUNICIPALITY
4th row	MUNICIPALITY
5th row	MUNICIPALITY

Common Values

Value	Count	Frequency (%)
MUNICIPALITY	195	95.6%
DEPARTMENT_GOVERNMENT	7	3.4%
OTHER	2	1.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
municipality	195	95.6%
department_government	7	3.4%
other	2	1.0%

Most occurring characters

Value	Count	Frequency (%)
I	585	23.4%
T	218	8.7%
N	216	8.7%
M	209	8.4%
P	202	8.1%
A	202	8.1%
U	195	7.8%
Y	195	7.8%
L	195	7.8%
C	195	7.8%
Other values (8)	85	3.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2490	99.7%
Connector Punctuation	7	0.3%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	585	23.5%
T	218	8.8%
N	216	8.7%
M	209	8.4%
P	202	8.1%
A	202	8.1%
U	195	7.8%
Y	195	7.8%
L	195	7.8%
C	195	7.8%
Other values (7)	78	3.1%

Connector Punctuation

Value	Count	Frequency (%)
_	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2490	99.7%
Common	7	0.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	585	23.5%
T	218	8.8%
N	216	8.7%
M	209	8.4%
P	202	8.1%
A	202	8.1%
U	195	7.8%
Y	195	7.8%
L	195	7.8%
C	195	7.8%
Other values (7)	78	3.1%

Common

Value	Count	Frequency (%)
_	7	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2497	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
I	585	23.4%
T	218	8.7%
N	216	8.7%
M	209	8.4%
P	202	8.1%
A	202	8.1%
U	195	7.8%
Y	195	7.8%
L	195	7.8%
C	195	7.8%
Other values (8)	85	3.4%

PERFORMANCE
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

NO_DEVIATION	94
BOTH	45
TIME_DEVIATION	40
COST_DEVIATION	25

Length

Max length	14
Median length	12
Mean length	10.87254902
Min length	4

Characters and Unicode

Total characters	2218
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BOTH
2nd row	COST_DEVIATION
3rd row	TIME_DEVIATION
4th row	NO_DEVIATION
5th row	NO_DEVIATION

Common Values

Value	Count	Frequency (%)
NO_DEVIATION	94	46.1%
BOTH	45	22.1%
TIME_DEVIATION	40	19.6%
COST_DEVIATION	25	12.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no_deviation	94	46.1%
both	45	22.1%
time_deviation	40	19.6%
cost_deviation	25	12.3%

Most occurring characters

Value	Count	Frequency (%)
I	358	16.1%
O	323	14.6%
T	269	12.1%
N	253	11.4%
E	199	9.0%
_	159	7.2%
D	159	7.2%
V	159	7.2%
A	159	7.2%
B	45	2.0%
Other values (4)	135	6.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2059	92.8%
Connector Punctuation	159	7.2%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	358	17.4%
O	323	15.7%
T	269	13.1%
N	253	12.3%
E	199	9.7%
D	159	7.7%
V	159	7.7%
A	159	7.7%
B	45	2.2%
H	45	2.2%
Other values (3)	90	4.4%

Connector Punctuation

Value	Count	Frequency (%)
_	159	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2059	92.8%
Common	159	7.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	358	17.4%
O	323	15.7%
T	269	13.1%
N	253	12.3%
E	199	9.7%
D	159	7.7%
V	159	7.7%
A	159	7.7%
B	45	2.2%
H	45	2.2%
Other values (3)	90	4.4%

Common

Value	Count	Frequency (%)
_	159	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2218	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
I	358	16.1%
O	323	14.6%
T	269	12.1%
N	253	11.4%
E	199	9.0%
_	159	7.2%
D	159	7.2%
V	159	7.2%
A	159	7.2%
B	45	2.0%
Other values (4)	135	6.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	NUMBER_OF_CONTRACTS	COST_DEVIATION	TIME_DEVIATION	TIME_STUDIES_CONTRACT	ADVANCED_PAYMENT	ESTIMATED_COST	ORIGINAL_DEADLINE	LIQUIDITY_INDEX_B	DEBT_INDEX_B	INTEREST_COVERAGE_RATIO_B	ROE_B	ROA_B	WORKING_CAPITAL	NET_EQUITY	EXPERIENCE_B_VALUE	K_CONTRACTING_B_VALUE	PROJECT_INTENSITY	PRICE_SCORE	TECHNICAL_SCORE	NATIONAL_INDUSTRY_SCORE	OTHER_SCORE	NUMBER_BIDDERS	CONTRACT_VALUE	AWARD_GROWTH	ADDITIONAL_COST	FINAL_COST	ADDITIONAL_TIME	FINAL_DEADLINE	TIME_SUSPENDED_P	IDI	CONTRACTOR	HIGHEST SCORE	LOWEST_SCORE	YEAR	IDI_CAT	CONTRACT_TYPE	MUNICIPALITY_TYPE	DEPARTMENT	REGION	REGION_2	OWNER	PERFORMANCE
0	1	0.18	0.50	111.0	0.0	861.08	90	10.0	0.50	1.00	0.05	0.02	1.00	NaN	2.14	0.54	9.57	0.50	0.20	0.10	0.20	1	861.07	-0.0018	153.74	1014.81	45	135	0.69	76.13	INDIVIDUAL	PRICE	NATIONAL_INDUSTRY	Y_2016	SATISFACTORY	CONSTRUCTION	TYPE_6	MAGDALENA	CARIBE	CARIBE	MUNICIPALITY	BOTH
1	2	0.25	0.00	38.0	0.0	325.26	90	85.0	0.16	85.00	0.13	0.11	NaN	NaN	3.01	1.00	3.61	0.38	0.50	0.06	0.06	1	325.26	-0.0013	81.32	406.57	0	90	0.00	72.85	INDIVIDUAL	TECHNICAL	OTHER	Y_2017	SATISFACTORY	MAINTEINANCE	TYPE_6	BOYACA	ANDINA	CENTRO_ORIENTE	MUNICIPALITY	COST_DEVIATION
2	3	0.00	0.38	41.0	0.4	1084.43	120	10.0	0.40	10.00	0.15	0.15	3.00	3.0	11.07	1.00	9.04	0.50	0.40	0.10	0.00	1	1084.43	0.0000	0.00	1084.43	45	165	0.00	80.47	COMPANY	PRICE	OTHER	Y_2017	OUTSTANDING	MAINTEINANCE	TYPE_6	ANTIOQUIA	ANDINA	EJE_CAFETERO	MUNICIPALITY	TIME_DEVIATION
3	4	0.00	0.00	47.0	0.0	358.75	60	25.0	0.50	4.00	0.55	0.30	NaN	NaN	1.00	1.00	5.98	0.60	0.30	0.10	0.00	1	358.42	-0.0892	0.00	358.42	0	60	0.00	47.26	CONSORTIUM	PRICE	OTHER	Y_2018	LOW	MAINTEINANCE	TYPE_6	TOLIMA	ANDINA	CENTRO_SUR	MUNICIPALITY	NO_DEVIATION
4	5	0.00	0.00	35.0	0.0	2020.64	60	250.0	0.15	5.00	0.10	0.10	0.99	NaN	1.00	0.44	33.68	0.27	0.61	0.04	0.08	1	2020.62	-0.0012	0.00	2020.62	0	60	1.28	74.50	CONSORTIUM	TECHNICAL	NATIONAL_INDUSTRY	Y_2015	SATISFACTORY	MAINTEINANCE	TYPE_6	BOYACA	ANDINA	CENTRO_ORIENTE	MUNICIPALITY	NO_DEVIATION
5	6	0.05	0.83	36.0	0.0	482.63	90	3.0	0.10	5.00	0.10	0.10	NaN	NaN	2.00	1.00	5.36	0.60	0.30	0.10	0.00	1	482.62	-0.0001	25.25	507.88	75	165	0.50	82.77	INDIVIDUAL	PRICE	OTHER	Y_2015	OUTSTANDING	CONSTRUCTION	TYPE_6	CUNDINAMARCA	ANDINA	CENTRO_ORIENTE	MUNICIPALITY	BOTH
6	7	0.00	0.00	50.0	0.0	642.91	45	5.0	0.40	3.00	0.06	0.04	1.00	1.0	1.00	1.00	14.29	0.55	0.30	0.15	0.00	2	642.38	-0.0824	0.00	642.38	0	45	0.69	75.73	CONSORTIUM	PRICE	OTHER	Y_2016	SATISFACTORY	MAINTEINANCE	OTHER	CORDOBA	CARIBE	CARIBE	MUNICIPALITY	NO_DEVIATION
7	8	0.00	0.53	54.0	0.0	374.43	45	5.0	0.30	20.00	0.30	0.20	NaN	NaN	5.00	1.00	8.32	0.30	0.60	0.10	0.00	1	373.06	-0.3659	0.00	373.06	24	69	2.78	75.66	COMPANY	TECHNICAL	OTHER	Y_2016	SATISFACTORY	CONSTRUCTION	TYPE_6	ANTIOQUIA	ANDINA	EJE_CAFETERO	MUNICIPALITY	TIME_DEVIATION
8	9	0.00	0.14	37.0	0.5	748.04	50	3.0	0.54	2.35	0.10	0.04	NaN	NaN	5.00	0.50	14.96	0.27	0.50	0.00	0.23	1	748.01	-0.0044	0.00	748.01	7	57	0.00	76.89	COMPANY	TECHNICAL	NATIONAL_INDUSTRY	Y_2015	SATISFACTORY	MAINTEINANCE	TYPE_6	BOYACA	ANDINA	CENTRO_ORIENTE	MUNICIPALITY	TIME_DEVIATION
9	10	0.33	0.56	35.0	0.0	371.99	90	12.0	0.30	10.00	0.12	0.12	0.81	NaN	2.02	1.00	4.13	0.50	0.30	0.00	0.20	1	371.99	0.0000	123.28	495.27	50	140	4.29	75.17	INDIVIDUAL	PRICE	NATIONAL_INDUSTRY	Y_2016	SATISFACTORY	CONSTRUCTION	TYPE_6	SANTANDER	ANDINA	CENTRO_ORIENTE	MUNICIPALITY	BOTH

Last rows

	NUMBER_OF_CONTRACTS	COST_DEVIATION	TIME_DEVIATION	TIME_STUDIES_CONTRACT	ADVANCED_PAYMENT	ESTIMATED_COST	ORIGINAL_DEADLINE	LIQUIDITY_INDEX_B	DEBT_INDEX_B	INTEREST_COVERAGE_RATIO_B	ROE_B	ROA_B	WORKING_CAPITAL	NET_EQUITY	EXPERIENCE_B_VALUE	K_CONTRACTING_B_VALUE	PROJECT_INTENSITY	PRICE_SCORE	TECHNICAL_SCORE	NATIONAL_INDUSTRY_SCORE	OTHER_SCORE	NUMBER_BIDDERS	CONTRACT_VALUE	AWARD_GROWTH	ADDITIONAL_COST	FINAL_COST	ADDITIONAL_TIME	FINAL_DEADLINE	TIME_SUSPENDED_P	IDI	CONTRACTOR	HIGHEST SCORE	LOWEST_SCORE	YEAR	IDI_CAT	CONTRACT_TYPE	MUNICIPALITY_TYPE	DEPARTMENT	REGION	REGION_2	OWNER	PERFORMANCE
194	195	0.000000	0.000000	42.0	0.0	458.824904	120	90.00	0.15	10.0	0.10	0.10	0.610255	0.500000	5.00	1.0	3.823541	0.35	0.550	0.10	0.000	1	458.748308	-0.016694	0.000000	458.748308	0	120	0.000000	52.7	COMPANY	TECHNICAL	OTHER	Y_2019	LOW	MAINTEINANCE	TYPE_6	TOLIMA	ANDINA	CENTRO_SUR	MUNICIPALITY	NO_DEVIATION
195	196	0.000000	0.000000	39.0	0.0	504.971863	90	1.50	0.70	1.0	0.00	0.00	NaN	NaN	0.50	1.0	5.610798	0.50	0.400	0.09	0.010	1	504.567792	-0.080018	0.000000	504.567792	0	90	0.000000	44.9	INDIVIDUAL	PRICE	OTHER	Y_2019	LOW	CONSTRUCTION	OTHER	NARINO	PACIFICA	PACIFICO	MUNICIPALITY	NO_DEVIATION
196	197	0.428449	0.000000	60.0	0.0	845.292205	270	10.00	0.20	80.0	0.15	0.15	0.428571	0.001286	3.00	1.0	3.130712	0.30	0.590	0.10	0.010	2	845.292205	0.000000	362.164866	1207.457071	0	270	0.000000	54.1	COMPANY	TECHNICAL	OTHER	Y_2019	LOW	MAINTEINANCE	TYPE_6	ANTIOQUIA	ANDINA	EJE_CAFETERO	MUNICIPALITY	COST_DEVIATION
197	198	0.200000	0.666667	39.0	0.0	1324.301537	90	1.00	0.70	1.0	0.25	0.20	0.100000	NaN	0.75	0.7	14.714462	0.70	0.190	0.10	0.010	11	1294.883879	-2.221372	258.976775	1553.860654	60	150	0.000000	75.3	CONSORTIUM	PRICE	OTHER	Y_2019	SATISFACTORY	CONSTRUCTION	TYPE_6	ANTIOQUIA	ANDINA	EJE_CAFETERO	MUNICIPALITY	BOTH
198	199	0.000000	0.000000	42.0	0.0	5378.164047	180	4.20	0.25	33.0	0.09	0.08	0.700000	0.800000	1.00	NaN	29.878689	0.00	0.600	0.20	0.200	1	5377.178864	-0.018318	0.000000	5377.178864	0	180	0.000000	48.1	COMPANY	TECHNICAL	OTHER	Y_2019	LOW	MAINTEINANCE	TYPE_6	ANTIOQUIA	ANDINA	EJE_CAFETERO	MUNICIPALITY	NO_DEVIATION
199	200	0.000000	0.333333	88.0	0.0	538.041278	120	0.80	0.20	5.0	0.15	0.13	2.000000	3.000000	3.00	1.0	4.483677	0.70	0.192	0.10	0.008	1	538.041278	0.000000	0.000000	538.041278	40	160	0.000000	50.1	CONSORTIUM	PRICE	OTHER	Y_2019	LOW	MAINTEINANCE	TYPE_6	CUNDINAMARCA	ANDINA	CENTRO_ORIENTE	MUNICIPALITY	TIME_DEVIATION
200	201	0.000000	0.000000	54.0	0.5	603.780147	180	7.48	0.49	15.2	0.18	0.16	NaN	NaN	6.00	1.0	3.354334	0.50	0.250	0.10	0.150	1	603.728818	-0.008501	0.000000	603.728818	0	180	0.000000	45.8	CONSORTIUM	PRICE	NATIONAL_INDUSTRY	Y_2019	LOW	MAINTEINANCE	TYPE_6	CUNDINAMARCA	ANDINA	CENTRO_ORIENTE	MUNICIPALITY	NO_DEVIATION
201	202	0.000000	0.500000	42.0	0.0	594.266073	90	1.00	0.70	1.0	0.00	0.00	0.300000	NaN	0.75	1.0	6.602956	0.70	0.190	0.10	0.010	16	577.377012	-2.842003	0.000000	577.377012	45	135	0.000000	50.8	CONSORTIUM	PRICE	OTHER	Y_2019	LOW	MAINTEINANCE	OTHER	BOYACA	ANDINA	CENTRO_ORIENTE	MUNICIPALITY	TIME_DEVIATION
202	203	0.000000	0.000000	43.0	0.4	507.847048	120	1.50	0.70	1.0	0.00	0.00	NaN	NaN	4.00	NaN	4.232059	0.50	0.400	0.09	0.010	2	507.847048	0.000000	0.000000	507.847048	0	120	0.375000	44.9	INDIVIDUAL	PRICE	OTHER	Y_2019	LOW	CONSTRUCTION	OTHER	NARINO	PACIFICA	PACIFICO	MUNICIPALITY	NO_DEVIATION
203	204	0.064328	0.125000	16.0	0.0	393.656688	120	20.00	0.36	26.0	0.32	0.13	NaN	NaN	2.00	1.0	3.280472	0.40	0.400	0.10	0.100	1	391.834323	-0.462933	25.206098	417.040421	15	135	0.308333	52.0	COMPANY	OTHER	OTHER	Y_2019	LOW	MAINTEINANCE	TYPE_6	BOYACA	ANDINA	CENTRO_ORIENTE	MUNICIPALITY	BOTH

Overview

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Length

Pie chart

Most occurring characters

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Most occurring scripts

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Common

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Common Values

Length

Pie chart

Most occurring characters

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Connector Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts